I’ve taken part in projects using a wide range of technologies, creating real impact for people and companies across different industries. I’ve delivered production solutions and MVPs for DELL, BTG Pactual, Contabilizei, Gerdau, and others. I’m comfortable working with modern tech stacks while also recognizing the value of more established technologies.
I’m currently looking for a junior or mid-level position, as I’m already operating beyond typical internship responsibilities and want to take on bigger challenges. I’m someone who cares about generating real impact, takes ownership seriously, and learns fast. Constant growth is what drives me, and, echoing Steve Jobs’s question, “What makes your heart sing?”, for me the answer is evolving in every way I can, personally and professionally.
Current Focus: Bridging the gap between Software Architecture and AI Engineering creating intelligent systems that are not only smart but also scalable, secure, and cost-effective.
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Impact: 97% cost reduction | >99% efficiency gain (days → 30s) Built an autonomous AI agent with Amazon Bedrock orchestrating a serverless event-driven architecture (API Gateway, SQS, Lambda). Integrated ServiceNow via webhooks and reverse-engineered Nexxera's HTTP layer to avoid costly RPA solutions. Stack: 
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Impact: 95% risk reduction | Eliminated manual spreadsheets Designed and developed a full-stack platform for investment fund event management. Built high-performance REST API in Go with PostgreSQL and React microfrontend with CVM regulatory compliance validation. System now processes 100% of events in production. Stack: 
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Impact: Scaled from 1% to 20%+ call analysis (150k+ calls/month) Architected a 100% serverless, event-driven NLP pipeline on AWS. Automated quality analysis with Amazon Transcribe, SageMaker sentiment analysis, and OpenSearch semantic search. Deployed with Terraform IaC and GitHub Actions CI/CD. Stack: 
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Impact: Automated CVM 175 compliance | ML-powered recommendations Built a regulatory technology platform with Service-Oriented Architecture (SOA) for investment portfolio compliance. Implemented ML recommendation engine to suggest optimal portfolio rebalancing. Containerized with Docker for AWS EC2 deployment. Stack: 
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- Architectural Thinking: I don't just implement features, I design systems that scale, considering tradeoffs between performance, cost, and maintainability
- End-to-End Ownership: From infrastructure provisioning with Terraform to AI agent orchestration and frontend UX
- Business Impact Focus: Every line of code serves a measurable business outcome (see: 97% cost reduction, 99% efficiency gains)
- Rapid Learning: Moved from monoliths (Node.js) to microservices (.NET) to serverless (AWS) in one academic year
I'm always open to discussing software architecture, AI engineering, or potential collaborations.
"The best architecture is the one that solves the right problem with the right tradeoffs."